Does order placement via the API bypass the normal Rappi checkout security rules?

No. The `place_order` tool uses your pre-authenticated method securely. Bank validations, anti-fraud algorithms, and location checks apply exactly as they would natively in the application avoiding compliance breaches entirely.

Can I explicitly track multiple concurrent active orders dynamically simultaneously?

Yes! Your agent can iterate over an array of active Order IDs using the `get_order_status` tool consistently. It parses coordinate updates and ETA drops, outputting a consolidated table summing up your entire inbound fleet seamlessly.

Are the store identifiers (storeId) universally stable across regions?

Store IDs are fundamentally unique keys generated explicitly by Rappi's catalog backend. They remain static for the lifetime of that specific branch location. Searching via `list_nearby_stores` initially is recommended to cache the correct target IDs dynamically.

Rappi API MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Rappi API
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Rappi API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Rappi API Assistant",
            instructions=(
                "You help users interact with Rappi API. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Rappi API"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Rappi API MCP Server

Empower your intelligent agents directly with Rappi API, the dominant delivery and logistics super-app bridging Latin America. Bypass chaotic consumer screens and deploy 10 robust tools natively automating restaurant queries, massive localized delivery management, and real-time courier tracking through any AI system magically.

The OpenAI Agents SDK auto-discovers all 10 tools from Rappi API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Rappi API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Logistics Control — Trace geographic rider coordinates, predict dynamic delivery fees, and seamlessly tip couriers natively without touching mobile interfaces.
Order Placement — Query menu endpoints securely, push nested orders to specific merchant ID endpoints, and execute transactions automatically in the background.
Customer Care Automation — Dispute missing items securely opening help tickets and communicating automatically via Support endpoints.
Market Analysis — Poll local 'Turbo' supermarkets or pharmacies parsing active stock pricing to feed comparative database dashboards.

The Rappi API MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Rappi API to OpenAI Agents SDK via MCP

Follow these steps to integrate the Rappi API MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Rappi API

Why Use OpenAI Agents SDK with the Rappi API MCP Server

OpenAI Agents SDK provides unique advantages when paired with Rappi API through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Rappi API + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Rappi API MCP Server delivers measurable value.

Automated workflows: build agents that query Rappi API, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Rappi API, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Rappi API tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Rappi API to resolve tickets, look up records, and update statuses without human intervention

Rappi API MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Rappi API to OpenAI Agents SDK via MCP:

get_order_detail

Get full details for a specific order

get_order_handoff

Get handoff confirmation codes for an order

get_store_availability

Check availability status of a store

get_store_menu

Retrieve the full menu of a store

list_new_orders

List new incoming orders awaiting acceptance

list_stores

List all registered stores under your account

mark_ready_for_pickup

Signal that an order is ready for courier pickup

reject_order

Reject an incoming order with a reason

take_order

Accept and start preparing an incoming order

update_store_status

Open or close a store for receiving orders

Example Prompts for Rappi API in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Rappi API immediately.

"List nearby stores in the 'pharmacy' category around coordinates 4.6097, -74.0817."

"Check the delivery state and ETA for my active order number 8812920."

"Cancel the active order 88910 immediately citing missing items from the receipt."

Troubleshooting Rappi API MCP Server with OpenAI Agents SDK

Common issues when connecting Rappi API to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Rappi API + OpenAI Agents SDK FAQ

Common questions about integrating Rappi API MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.